RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, United States.
Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, United States.
Elife. 2023 Nov 27;12:RP90486. doi: 10.7554/eLife.90486.
Previously we showed that 2D template matching (2DTM) can be used to localize macromolecular complexes in images recorded by cryogenic electron microscopy (cryo-EM) with high precision, even in the presence of noise and cellular background (Lucas et al., 2021; Lucas et al., 2022). Here, we show that once localized, these particles may be averaged together to generate high-resolution 3D reconstructions. However, regions included in the template may suffer from template bias, leading to inflated resolution estimates and making the interpretation of high-resolution features unreliable. We evaluate conditions that minimize template bias while retaining the benefits of high-precision localization, and we show that molecular features present in the template can be reconstructed at high resolution from targets found by 2DTM, extending prior work at low-resolution. Moreover, we present a quantitative metric for template bias to aid the interpretation of 3D reconstructions calculated with particles localized using high-resolution templates and fine angular sampling.
此前我们已经表明,2D 模板匹配(2DTM)可用于精确定位低温电子显微镜(cryo-EM)记录的图像中的大分子复合物,即使在存在噪声和细胞背景的情况下也是如此(Lucas 等人,2021 年;Lucas 等人,2022 年)。在这里,我们表明,一旦定位,这些粒子可以被平均在一起以生成高分辨率的 3D 重建。然而,模板中包含的区域可能会受到模板偏差的影响,导致分辨率估计值膨胀,并使高分辨率特征的解释变得不可靠。我们评估了最小化模板偏差同时保留高精度定位优势的条件,我们表明,从 2DTM 定位的目标中可以重建出模板中存在的分子特征,从而扩展了先前在低分辨率下的工作。此外,我们提出了一种模板偏差的定量指标,以帮助解释使用高分辨率模板和精细角度采样定位的粒子计算得到的 3D 重建。